معرفی
Jemima M. Tabeart is a researcher affiliated with the School of Mathematics at the University of Edinburgh, UK, and previously with the School of Mathematical, Physical and Computational Sciences at the University of Reading. Her work lies at the intersection of applied mathematics and meteorology, focusing on data assimilation systems used in numerical weather prediction.
Her research interests include:
- Data Assimilation
- Observation Error Covariance Modeling
- Numerical Linear Algebra in Geophysical Systems
- Optimization and Conditioning of Inverse Problems
- Statistical Methods for Atmospheric Science
Her recent publications analyze the impact of correlated observation errors in data assimilation, particularly in the Met Office 1D-Var system, with a focus on improving matrix conditioning using reconditioning techniques like ridge regression. These works demonstrate a strong trend toward enhancing computational efficiency and numerical stability in weather forecasting models.
She has contributed to key journals such as the Quarterly Journal of the Royal Meteorological Society, Tellus A, and Numerical Linear Algebra with Applications.
She has collaborated extensively with researchers from the University of Reading and the Met Office, indicating active engagement in the UK meteorological research community.
Jemima M. Tabeart has not been mentioned to have supervised any students or received scientific awards in the provided text. She is involved in research supported by major UK science funding bodies such as EPSRC and NERC.
